Abstract
The purpose of the proposed cloud and deep learning-based image analyzer technique is to discuss various challenges with existing conventional methods of managing business images and why we should adopt a better approach. We propose a cloud-based solution, which is more secure, durable, robust, and much faster compared with conventional methods of business image management. This approach tries to rectify the issue of storing, searching, categorizing, and managing images by combining the benefits of cloud along with computer vision and image processing. We thoroughly discuss the idea along with detailed analysis of requirement gathering, feasibility study, and architecture designing. Furthermore, we discuss the implementation code, detailed comparison of different image processing algorithms, empirical analysis of this approach compared with other conventional approaches in terms of cost, accuracy of image processing algorithms, data entry time, searching time, etc. Finally, we emphasize the best approach and image processing algorithm chosen based on the practically proven results.
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